@inproceedings{16c6cc7249a9447192dd36a02a18602a,
title = "Predicting grasp inertia with a geometric model",
abstract = "Controlling fnger impedance is critical for successful grasping. Understanding how humans achieve this is of great interest for learning about human motor control, as well as for applications in robotic grasping. There have been a number of studies on finger impedance in both the robotics and biological fields. They almost exclusively consider only stiffness and viscosity. However, inertia may play an important role in certain grasps, and is important for calculation of the other impedance properties. This paper reports current progress of a project to create a geometric model of the hand for predicting hand/grasp inertia at different configurations (sensed by a glove that measures joint angles) during a variety of tasks.",
author = "Gideon Kowadlo and Jason Friedman and Tamar Flash",
year = "2005",
language = "אנגלית",
isbn = "0958758379",
series = "Proceedings of the 2005 Australasian Conference on Robotics and Automation, ACRA 2005",
booktitle = "Proceedings of the 2005 Australasian Conference on Robotics and Automation, ACRA 2005",
note = "null ; Conference date: 05-12-2005 Through 07-12-2005",
}